姓名：胡增運 職稱：研究員 碩士生導師 博士后合作導師
Title1 國家級青年人才
聯(lián)系方式：
辦公室地址：全球健康研究院
辦公室電話：021-63846590-776995
郵箱：[email protected]
科研方向/主要研究內(nèi)容/科研成果
胡增運博士,，研究員,，國家級青年人才,，本科、碩士、博士均畢業(yè)于應用數(shù)學專業(yè),，長期從事環(huán)境變化與人類健康交叉研究。主要研究內(nèi)容：流行病統(tǒng)計、傳染病模型,、傳染病預測預警及風險評估、AI大數(shù)據(jù),、氣候變化和人類活動,、全球變化對人類健康影響等等。
截止目前,，發(fā)表學術(shù)論文95篇,，其中SCI期刊論文75篇,，第一作者和通訊作者SCI論文55篇，三篇高被引,，包括公衛(wèi),、傳染病、自然地理,、應用數(shù)學等多個領(lǐng)域top 期刊,。相關(guān)成果得到聯(lián)合國跨政府氣候變化專門委員會IPCC 報告和Nature等多個頂刊引用和高度評價。主持中組部國家級青年人才項目,，科技部重點研發(fā)計劃政府間國際合作項目等國家和省部級項目10項,，參加973項目、中科院先導A,、國家自然科學基金重點項目等超20項,。
胡增運博士先后在中國科學院新疆生態(tài)與地理研究所和香港浸會大學地理系博士后工作。
社會/學術(shù)任職和活動
國際期刊任職
The Innovation Geoscience Youth Editor
Atmosphere Editor
Acta Tropica Guest Editor
Frontiers in Environmental Science Associate Editor
Science in One Health Editor
主要學術(shù)創(chuàng)新
（1） 基于“大道至簡”思想,，以歐式距離為理論基礎(chǔ),，原創(chuàng)性構(gòu)建CCHZ-DISO評估系統(tǒng)，成功解決大數(shù)據(jù)和模型評估,、排名和分類科學問題,，可應用于多個學科；創(chuàng)建PTPLS時空大數(shù)據(jù)插值方法,，為多個學科大數(shù)據(jù)時空插值提供新方法,。
（2） 針對中亞地理環(huán)境變化及成因科學問題，申請人利用了多源數(shù)據(jù)不確定性分析方法,，得到了過去百年中亞地理環(huán)境時空演變特征及影響機制早期工作, 為中亞地理環(huán)境變化機理研究提供重要科學基礎(chǔ),。
（3） 解決一元三次方程根與1的關(guān)系，為三維離散傳染病模型動力行為研究提供理論基礎(chǔ),；創(chuàng)建了基于自然地理學,、氣象學、應用數(shù)學和傳染病學等交叉學科的“傳染病預測預警建模與防控新技術(shù)”,；拓展傳染病研究方向,，實現(xiàn)“One Health”角度多學科交叉研究。
科研項目
項目編號 |
項目類型 |
項目名稱 |
起止年月 |
備注 |
| 2025YFE0104200 |
科技部國家重點研發(fā)計劃政府間國際科技創(chuàng)新合作重點專項項目 100萬 |
One Health 理念下地理環(huán)境對中塔人獸共患病影響及預測預警 |
2025.3-2027.2 |
項目負責人 |
E3250301 |
中科院基礎(chǔ)前沿 300萬 |
中亞生態(tài)系統(tǒng)修復與保護 |
2023.1-2025.12 |
項目負責人 |
ANSO-CR-KP-2021-02 |
“一帶一路”國際科學組織聯(lián)盟項目 |
哈國與巴基斯坦新冠肺炎疫情防控研究 |
2022.1-2024.12 |
課題負責人 |
E1190301 |
國家級青年人才項目 |
環(huán)境變化與人類健康 |
2021.1-2023.12 |
項目負責人 |
E116030701 |
新疆第三次科考 |
科考數(shù)據(jù)挖掘與分析 |
2021.12-2025.12 |
子課題負責人 |
42361144887 |
國家自然科學基金國際合作重點項目 直接經(jīng)費 200萬 |
中亞干旱區(qū)生態(tài)系統(tǒng)退化機理與可持續(xù)發(fā)展研究 |
2024.1-2026.12 |
項目骨干 排名第二 |
42230708 |
國家自然科學基金重點項目 直接經(jīng)費 273萬 |
近30年咸海萎縮成因及其生態(tài)效應研究 |
2023.1-2027.12 |
項目骨干 排名第二 |
2022TSYCLJ0056 |
新疆自治區(qū)天山英才項目 經(jīng)費600萬 |
亞歐內(nèi)陸干旱區(qū)生態(tài)與環(huán)境多學科交叉研究 |
2023.1-2027.1 |
項目骨干 排名第二 |
11401569 |
國家自然科學基金青年基金 |
氣候變化影響下的天山巴音布魯克草原牲畜規(guī)模動態(tài)研究 |
2015.01-2017.12 |
項目負責人 |
2020-XBQNXZ-010 |
中科院西部青年學者項目 |
全球增溫背景下中亞干旱區(qū)陸地水儲量評估 |
2021.01-2023.12 |
項目負責人 |
代表性論文
原創(chuàng)性論文：
1. Zhang, H., Hu, Z*, and Chen, X., et al., 2025, Global Greening major contributed by climate change with more than two times rate against the history period during the 21th Century, Global Change Biology, doi: 10.1111/gcb.70126.
2. Hu, Z., Chen, D., Chen, X., Zhou, Q., Peng, Y., Li, J., Sang, Y., 2022, CCHZ-DISO: A Timely New Assessment System for data quality or model performance from Da Dao Zhi Jian, Geophysical Research Letters, 49, e2022GL100681.
3. Zhou, Q., Chen, D., Hu, Z*., Chen, X*, 2021, Decompositions of Taylor diagram and DISO performance criteria, International Journal of Climatology, 41 (12), 5726-5732. 高被引
4. Hu, Z., Chen, X., Zhou, Q., Chen, D., Li, J., 2019, DISO: A rethink of Taylor diagram, International Journal of Climatology, 39, 2825-2832
5. Hu, Z., Teng, Z., Jiang, H., 2012, Stability analysis in a class of discrete SIRS epidemic models. Nonlinear Analysis: Real World Application, 13, 2017-2033高被引.
6. Hu, Z., Teng, Z., Zhang, T., Zhou, Q., Chen, X., 2017, Globally asymptotically stable analysis in a discrete time eco-epidemiological system, Chaos, Solitons & Fractals, 99, 20-31
7. Hu, Z., Hu, Q., Zhang, C., Chen, X., Li, Q., 2016, Evaluation of reanalysis, spatially interpolated and satellite remotely sensed precipitation data sets in central Asia. Journal of Geophysical Research: Atmospheres, 121, 5648-5663
環(huán)境變化論文：
1. Hu, Z., Chen, D., Chen, X., 2022, CCHZ-DISO: A Timely New Assessment System for data quality or model performance from Da Dao Zhi Jian, Geophysical Research Letters, 49, e2022GL10068
2. Hu, Z., Chen, X., Zhou, Q., Yin, G., Liu, J., 2022, Dynamical variations of the terrestrial water cycle components and the influences of the climate factors over the Aral Sea Basin through multiple datasets, Journal of Hydrology, 604: 127270.
3. Zhou, Q., Huang, J., Hu, Z*., Yin, G., 2022, Spatial-temporal changes to GRACE-derived terrestrial water storage in response to climate change in arid Northwest China, Hydrological Sciences Journal-Journal Des Sciences Hydrologiques, 67(4): 535-549.
4. Hu, Z., Zhang, Z., Sang, Y., Qian, J., Feng, W., Chen, X., Zhou, Q., 2021, Temporal and spatial variations in the terrestrial water storage across Central Asia based on multiple satellite datasets and global hydrological models, Journal of Hydrology, 596, 126013.
5. Zhou, Q., Chen, D., Hu, Z*., Chen, X*, 2021, Decompositions of Taylor diagram and DISO performance criteria, International Journal of Climatology, 41 (12), 5726-5732.
6. Hu, Z., Chen, X., Zhou, Q., Chen, D., Li, J., 2019, DISO: A rethink of Taylor diagram, International Journal of Climatology, 39, 2825-2832.
7. Hu, Z., Chen, X., Chen, D., Li, j., Wang, S., Zhou, Q., Yin, G., Guo, M., 2019, “Dry gets drier, wet gets wetter”: A case study over the arid regions of central Asia, International Journal of Climatology, 39, 1072-1091.
8. Hu, Z., Zhou, Q., Chen, X., Li, J., Li, Q., Chen, D., Liu, W., Yin, G., 2018, Evaluation of three global gridded precipitation data sets in central Asia based on rain gauge observations, International Journal of Climatology, 9, 3475-3493.
9. Hu, Z., Zhou, Q., Chen, X., Qian, C., Wang, S., Li, J., 2017, Variations and changes of annual precipitation in Central Asia over the last century. International Journal of Climatology, 37,157-170.
10. Hu, Z., Hu, Q., Zhang, C., Chen, X., Li, Q., 2016, Evaluation of reanalysis, spatially interpolated and satellite remotely sensed precipitation data sets in central Asia. Journal of Geophysical Research: Atmospheres, 121, 5648-5663.
11. Hu, Z., Zhang, C., Hu, Q., Tian, H., 2014, Temperature Changes in Central Asia from 1979 to 2011 Based on Multiple Datasets. Journal of Climate, 27, 1143-1167高被引.
傳染病論文：
1. Cui, Q., Shi, Z., Hu, Z., Yimamaidi, Z., Hu, B., Zhang, Z., Saqib, M., Zohaib, A., Gulnara , B., Yersyn, M., Lil, S., 2023, Dynamical variations of the COVID-19 with the SARS-CoV-2 Omicron of Kazakhstan and Pakistan. Infectious Diseases of Poverty. 12: 18.
2. Wang, X., Yin, G., Hu, Z*., He, D., Cui, Q., Feng, X., Teng, Z., Hu, Q., Li, J., Zhou, Q., 2021, Dynamical variations of the Global COVID-19 Pandemic based on a SEICR disease model: a new approach of Yi Hua Jie Mu, GeoHealth, 5, 2021GH000455.
3. Cui, Q., Hu, Z(共一)., Han, J., Li, Y., Han, J., Teng, Z., Qian, J., 2020, Dynamic variations of the COVID-19 disease at different quarantine strategies in Wuhan and mainland China, Journal of Infection and Public Health, 13, 849-855.
4. Hu, Z., Cui, Q., Han, J., Wang, X., Sha, W., Teng, Z., 2020, Evaluation and prediction of the COVID-19 variations at different input population and quarantine strategies, a case study in Guangdong province, China, International Journal of Infectious Disease, 95, 231-240.
5. Hu, Z., Teng, Z., Zhang, T., Zhou, Q., Chen, X., 2017,，Globally asymptotically stable analysis in a discrete time eco-epidemiological system, Chaos, Solitons & Fractals, 99, 20-31.
6. Hu, Z., Chang, L., Teng, Z., 2016, Bifurcation analysis of a discrete SIRS epidemic model with standard incidence rate. Advances in Difference Equations, 2016:155.
7. Hu, Z.*, Teng, Z., Jia, C., Zhang, C., Zhang, L., 2014, Dynamical analysis and chaos control of a discrete SIS epidemic model, Advances in Difference Equations, 2014:58.
8. Hu, Z., Teng, Z., Zhang, L., 2014, Stability and bifurcation analysis in a discrete SIR epidemic model. Mathematics and Computers in Simulation, 97, 80-93.
9. Hu, Z., Teng, Z., Jiang, H., 2012, Stability analysis in a class of discrete SIRS epidemic models. Nonlinear Analysis: Real World Application, 13, 2017-2033高被引.
10. Hu, Z., Teng, Z., Zhang, L., 2011, Stability and bifurcation analysis of a discrete predator-prey model with nonmonotonic functional response. Nonlinear Analysis: Real World Applications, 12, 2356-2377.
小組成員（PI填寫）
自然地理：劉軍教授（湖南中醫(yī)藥大學）,、殷剛副教授（新疆大學）；碩士生：張浩,，張卓,，毛敏,，王美君
傳染病預警預測及動力學模型：崔倩倩副教授（寧夏大學）,；碩士生：賀藝瑋,，張盼盼
本團隊長期招收環(huán)境變化與人類健康方面副研究員、助理研究員,、博士后,、博士生和碩士生，歡迎大家加盟,。簡歷發(fā)送: [email protected]
英文：
Name：Zengyun Hu
Degree：Ph.D
Email Address: [email protected]
Office Address: 227 South Chongqing Road, Shanghai, China
Office Tel: 021-776975
Education：
September 2003 – July 2007 Bachelor of Applied Mathematics, Xinyang Normal University
September 2008 – June 2011 Master of Applied Mathematics, Xinjiang University
September 2011 – June 2014 Doctor of Applied Mathematics, Xinjiang University
Appointments：
July 2007 - June 2008 High School Mathematics Teacher, Xinchai No.1 High School, Xinchai County, Henan Province
July 2011 - June 2014 Research Intern, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences
July 2014 - November 2015 Assistant Researcher, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences
December 2015 - December 2018 Postdoctoral Fellow, Department of Geography, Hong Kong Baptist University
January 2019 - December 2021 Associate Researcher, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences
January 2022 - December 2023 Researcher, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences
From January 2024 to present Researcher and Doctoral Supervisor, School of Medicine, Shanghai Jiao Tong University
Academic Participation and Activities：
Atmosphere Editor
Acta Tropica Guest Editor
Frontiers in Environmental Science Associate Editor
Science in One Health Editor
Research Area：
Environment change and human health;
Research Interest：
Extreme Climate, Remote Sensing Hydrology, Disease Models, Infectious disease forecasting and early warning, Risk assessment modeling, Artificial Intelligence, big data, and the impact of environmental changes on human health.
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